Evidence map›Paper›PMID 42614469›Full record

ArticleFrontiers in psychiatry2026

The impact of parent-child relationship on adolescent social adjustment following childhood abuse: the moderation of the serotonergic multilocus genetic variation.

De Tang, Jiayi Ding, Hao Rao, Hanyun Cao

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

De Tang *School of Educational Science, Hunan Normal University, Changsha, China.
Jiayi Ding *School of Educational Science, Hunan Normal University, Changsha, China.
Hao Rao *Department of Human Resources, Hunan Normal University, Changsha, China.
Hanyun Cao *School of Educational Science, Hunan Normal University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Childhood adverse experiences appear to increase sensitivity to stress, potentially influencing lifelong social adjustment. Previous studies suggest that serotonergic multilocus genetic variation moderates the relationship between environmental factors and social adjustment. Methods: This study investigated an adolescent sample (mean age 14.15 ± 0.63 years; N = 700), using theory-driven multilocus genetic profile scores (MGPS) to measure serotonergic multilocus genetic variation. Leveraging longitudinal data, we examined the interactions between serotonergic MGPS, childhood abuse (CA), and parent-child relationship and their impact on three adolescent adjustment outcomes: depressive symptoms, aggressive behavior, and creativity. Results: The findings revealed significant gene × environment × environment (G × E × E) interactions among serotonergic MGPS, CA, and parent-child relationship that predicted depressive symptoms in the mother-child model and aggressive behavior in both father-child and mother-child models. In contrast, creativity was predicted by a significant gene × environment (G × E) interaction between serotonergic MGPS and parent-child relationship, whereas no significant G × E × E interaction was found. Conclusions: This study highlights that adolescent social adjustment may reflect the interplay of genetic factors (serotonergic MGPS), distal experiences (CA), and proximal environmental influences (parent-child relationship), providing new insights into the mechanisms underlying adolescent social adjustment through the lens of gene-environment interactions.

Indexed as

aggressive behaviorcreativitydepressive symptomsdifferential susceptibility modelstress sensitivity model

Identifiers

PMID42614469
PMCPMC13481699

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.